{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Managing variables\n",
    "### Preparation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%config IPCompleter.greedy = True\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, qlibrary, draw\n",
    "from qiskit_metal import MetalGUI, Dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "design = designs.DesignPlanar()\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_pocket import TransmonPocket\n",
    "from qiskit_metal.qlibrary.tlines.meandered import RouteMeander\n",
    "\n",
    "connection_pads = dict(connection_pads=dict(\n",
    "                a = dict(loc_W=+1,loc_H=+1), \n",
    "                b = dict(loc_W=-1,loc_H=+1),\n",
    "                c = dict(loc_W=+1,loc_H=-1),\n",
    "                d = dict(loc_W=-1,loc_H=-1)\n",
    "            ))\n",
    "q1 = TransmonPocket(design, 'Q1', options = dict(pos_x='-1.5mm', pos_y='+0.0mm', **connection_pads))\n",
    "q2 = TransmonPocket(design, 'Q2', options = dict(pos_x='+1.5mm', pos_y='+0.0mm', **connection_pads))\n",
    "q3 = TransmonPocket(design, 'Q3', options = dict(pos_x='+0.0mm', pos_y='+1.3mm', **connection_pads))\n",
    "\n",
    "\n",
    "\n",
    "options = Dict(\n",
    "    pin_inputs=Dict(\n",
    "        start_pin=Dict(\n",
    "            component= 'Q1',\n",
    "            pin= 'a'),\n",
    "        end_pin=Dict(\n",
    "            component= 'Q2',\n",
    "            pin= 'b')),\n",
    ")\n",
    "design.variables.cpw_width = '10um'\n",
    "design.variables.cpw_gap = '6um'\n",
    "cpw = RouteMeander(design, 'cpw', options)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.01, 1.0000000000000002e-06]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design.parse_value(\"['10um', '1nm']\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'mm'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metal.config.DefaultMetalOptions.default_generic.units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# outdated: gui.ui.tabWidget.setTabPosition(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "table = gui.variables_window.ui.tableView\n",
    "table.resizeColumnsToContents()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PySide2.QtWidgets import QAbstractItemView\n",
    "table.setVerticalScrollMode(QAbstractItemView.ScrollPerPixel)\n",
    "table.setHorizontalScrollMode(QAbstractItemView.ScrollPerPixel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "table.adjustSize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "gui.config.clear()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set variables in the design\n",
    "design.variables.pad_width = '400 um'\n",
    "\n",
    "# Assign variables to component options\n",
    "q1.options.pad_width = 'pad_width'\n",
    "q2.options.pad_width = 'pad_width'\n",
    "q3.options.pad_width = 'pad_width'\n",
    "\n",
    "# Rebuild all compoinent and refresh the gui \n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set variables in the design\n",
    "design.variables.pad_width = '300 um'\n",
    "\n",
    "# Rebuild all compoinent and refresh the gui \n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set variables in the design\n",
    "design.variables.pad_width = '550 um'\n",
    "\n",
    "# Rebuild all compoinent and refresh the gui \n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-1.925, -0.325, -1.075,  0.325])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1.qgeometry_bounds()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# outdated: q1.qgeometry_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method QComponent.qgeometry_plot of \u001b[95m\u001b[1mname:    \u001b[94m\u001b[1mQ1\u001b[0m\n",
       "\u001b[95m\u001b[1mclass:   \u001b[94m\u001b[1mTransmonPocket        \u001b[0m\n",
       "\u001b[95m\u001b[1moptions: \u001b[0m\n",
       "  'pos_x'             : '-1.5mm',                     \n",
       "  'pos_y'             : '+0.0mm',                     \n",
       "  \u001b[1m'connection_pads'   \u001b[0m: {\n",
       "       \u001b[1m'a'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '100um',                      \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : 1,                            \n",
       "                             },\n",
       "       \u001b[1m'b'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '100um',                      \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : -1,                           \n",
       "            'loc_H'             : 1,                            \n",
       "                             },\n",
       "       \u001b[1m'c'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '100um',                      \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'd'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '100um',                      \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : -1,                           \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "                        },\n",
       "  'chip'              : 'main',                       \n",
       "  'pad_gap'           : '30um',                       \n",
       "  'inductor_width'    : '20um',                       \n",
       "  'pad_width'         : 'pad_width',                  \n",
       "  'pad_height'        : '90um',                       \n",
       "  'pocket_width'      : '650um',                      \n",
       "  'pocket_height'     : '650um',                      \n",
       "  'orientation'       : '0',                          \n",
       "  'hfss_wire_bonds'   : False,                        \n",
       "  'q3d_wire_bonds'    : False,                        \n",
       "  'hfss_inductance'   : '10nH',                       \n",
       "  'hfss_capacitance'  : 0,                            \n",
       "  'hfss_resistance'   : 0,                            \n",
       "  'hfss_mesh_kw_jj'   : 7e-06,                        \n",
       "  'q3d_inductance'    : '10nH',                       \n",
       "  'q3d_capacitance'   : 0,                            \n",
       "  'q3d_resistance'    : 0,                            \n",
       "  'q3d_mesh_kw_jj'    : 7e-06,                        \n",
       "  'gds_cell_name'     : 'my_other_junction',          \n",
       "\u001b[95m\u001b[1mmodule:  \u001b[94m\u001b[1mqiskit_metal.qlibrary.qubits.transmon_pocket\u001b[0m\n",
       "\u001b[95m\u001b[1mid:      \u001b[94m\u001b[1m1\u001b[0m\n",
       ">"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1.qgeometry_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "geopandas.geodataframe.GeoDataFrame"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(q1.qgeometry_table('poly'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>component</th>\n",
       "      <th>name</th>\n",
       "      <th>geometry</th>\n",
       "      <th>layer</th>\n",
       "      <th>subtract</th>\n",
       "      <th>helper</th>\n",
       "      <th>chip</th>\n",
       "      <th>fillet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>pad_top</td>\n",
       "      <td>POLYGON ((-1.77500 0.01500, -1.22500 0.01500, ...</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>pad_bot</td>\n",
       "      <td>POLYGON ((-1.77500 -0.10500, -1.22500 -0.10500...</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>rect_pk</td>\n",
       "      <td>POLYGON ((-1.82500 -0.32500, -1.17500 -0.32500...</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>a_connector_pad</td>\n",
       "      <td>POLYGON ((-1.35000 0.12000, -1.22500 0.12000, ...</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>b_connector_pad</td>\n",
       "      <td>POLYGON ((-1.65000 0.12000, -1.77500 0.12000, ...</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>c_connector_pad</td>\n",
       "      <td>POLYGON ((-1.35000 -0.12000, -1.22500 -0.12000...</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>d_connector_pad</td>\n",
       "      <td>POLYGON ((-1.65000 -0.12000, -1.77500 -0.12000...</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>main</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  component             name  \\\n",
       "0         1          pad_top   \n",
       "1         1          pad_bot   \n",
       "2         1          rect_pk   \n",
       "3         1  a_connector_pad   \n",
       "4         1  b_connector_pad   \n",
       "5         1  c_connector_pad   \n",
       "6         1  d_connector_pad   \n",
       "\n",
       "                                            geometry  layer  subtract  helper  \\\n",
       "0  POLYGON ((-1.77500 0.01500, -1.22500 0.01500, ...      1     False   False   \n",
       "1  POLYGON ((-1.77500 -0.10500, -1.22500 -0.10500...      1     False   False   \n",
       "2  POLYGON ((-1.82500 -0.32500, -1.17500 -0.32500...      1      True   False   \n",
       "3  POLYGON ((-1.35000 0.12000, -1.22500 0.12000, ...      1     False   False   \n",
       "4  POLYGON ((-1.65000 0.12000, -1.77500 0.12000, ...      1     False   False   \n",
       "5  POLYGON ((-1.35000 -0.12000, -1.22500 -0.12000...      1     False   False   \n",
       "6  POLYGON ((-1.65000 -0.12000, -1.77500 -0.12000...      1     False   False   \n",
       "\n",
       "   chip fillet  \n",
       "0  main    NaN  \n",
       "1  main    NaN  \n",
       "2  main    NaN  \n",
       "3  main    NaN  \n",
       "4  main    NaN  \n",
       "5  main    NaN  \n",
       "6  main    NaN  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1.qgeometry_table('poly')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# outdated: gui.component_window.model.index(1,0)"
   ]
  }
 ],
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    "name": "ipython",
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